Dr K.S.Harish is a Professor in Data Sciences and also the Program Chair for PGDM (Business Analytics) program. He holds PhD from Osmania University, M.Sc. from Sri Venkateswara University, Tirupathi and MBA from Pondicherry Central University. His thesis is titled “Circular, Quotients and Remainder Distributions for Specified Base Distributions”. He has a total of 28 years of experience. His experience includes teaching and training in the areas of Business Statistics, Operations Research, Business Research Methodology, and Business Analytics. He has conducted training programs for the employees of BHEL and ECIL in the areas of Operations Management, Logistics Management and Total Quality Management.

He was a resource person in various ICSSR Sponsored National Level FDP on Research Methodology in Social Sciences organized by Kakatheeya University, Rayalaseema University, Sri Krishnadevaraya University, Osmania University and OU-affiliated colleges in Hyderabad. He has presented 14 papers at various conferences and published 8 papers in refereed journals. edited 4 books, attended 13 workshops, resource person in 10 FDPs and also conducted many student development programmes His areas of interest are Time series modeling, Marketing Analytics, Machine Learning and Business analytics.

Check Siva Sivani Institute of Management

Siva Sivani Institute of Management

What is the latest program that you are offering in your institute/dept. which will help students outperform and stand apart from the crowd.

In today’s data-driven world, the PGDM Business Analytics program at SSIM stands out as a unique offering that blends business acumen, technology, and statistics seamlessly. It equips students with a range of skills, including data analysis proficiency, statistical expertise, machine learning, and more. This program prepares students to integrate business management with various analytics disciplines, making them stand out from the crowd in the competitive job market.

What are the factors that make this program the best for the students to opt?

The factors that make our PGDM program the best choice for students are multi-fold. Firstly, our institution, Siva Sivani Institute of Management, has a long-standing reputation and is approved by the AICTE. Secondly, our curriculum is comprehensive and up-to-date, covering core business concepts and advanced analytics techniques. Additionally, our faculty members are experienced and knowledgeable in data analytics and business management. We also provide real-world experiences through internships, industry partnerships, and career services. Overall, our program aligns with students' career aspirations and offers a strong foundation in analytics and business management.

What will you say are the “best practices” in the course you’re offering?

When it comes to best practices in our program, we emphasize clear learning objectives, engaging content, active learning methods, and assessments aligned with those objectives. We also prioritize providing timely and constructive feedback to students. Accessibility and technology tools are essential, along with a well-structured course layout. We maintain regular communication, adapt to changing circumstances, promote diversity and inclusion, and gather feedback through surveys. Continuous improvement, support services, and ethical considerations are integral to our approach.

What are some valuable insights into the program that you are offering at your institute/dept.?

Our program is dedicated to staying current with industry trends by regularly updating our curriculum to incorporate the latest advancements and technologies. We emphasize interdisciplinary learning, providing students with versatile skills. Experiential learning opportunities, such as internships and projects, offer practical experience. We offer comprehensive mentoring and advising services for students' personal and academic development. Our program promotes a global perspective through international opportunities and diverse cultural exposure. Rigorous assessment processes ensure our program’s effectiveness, and we prioritize the development of essential life skills. Our strong alumni network actively engages with students, and we make data-driven decisions to continuously improve and adapt to industry needs.

Check Siva Sivani Institute of Management Courses & Fees

How did you train yourself/faculty to deliver this program to the students?

The institution’s faculty recruitment process prioritizes individuals possessing relevant expertise and experience in Business Analytics. Expectations for faculty members include a robust academic background, practical industry experience, research publications, and a genuine passion for teaching. New faculty members go through orientation and onboarding to acquaint themselves with institutional policies, procedures, and the academic culture, as well as to familiarize themselves with the program they will be teaching. They are also required to have a deep understanding of the curriculum and are encouraged to review course materials, syllabi, and textbooks. Pedagogical training and faculty development programs aim to enhance teaching methods, classroom management, and assessment techniques, with support for attending external programs. Additionally, faculty receive training in utilizing analytics tools, software, and learning management systems. The institution promotes continuous professional development through conferences, workshops, and seminars related to Business Analytics, data science, and teaching methodologies. 

New faculty members benefit from experienced mentors who guide them in curriculum design, teaching strategies, and navigating the academic environment. Collaboration with colleagues from other departments is encouraged to foster an interdisciplinary approach, integrating business concepts with analytics. Ethical considerations in data collection, analysis, and decision-making are emphasized, with a focus on responsible behavior. Faculty members also undergo training in creating valid assessments that align with learning objectives and promote meaningful feedback to students. The program places a strong emphasis on student-centered teaching practices, fostering active learning, critical thinking, and problem-solving skills among students.

How do you tend to build an industry connected with this program?

Building an industry connection is vital for our Business Analytics programs success. We have established an industry advisory board, offer internships and co-op programs, invite guest lecturers from the industry, engage in industry projects, organize networking events and career fairs, and maintain strong alumni connections. We also value feedback from our industry partners to ensure the program remains relevant.

What are the types of projects that the students are working on through this program?

Students in our program work on a wide range of projects, including Predictive Analytics, Classification and Clustering Analysis, Time Series Analysis, Marketing Analytics, Supply Chain and Operations Analytics, Financial Analytics, Text Analytics, Natural Language Processing (NLP) Projects, and Business Intelligence Dashboards.

What are the benefits and career options after pursuing this course?

After completing our program, students have a plethora of career options in both management and analytics domains. Some of the career opportunities include Data Analyst, Data Scientist, Business Analyst, Business Intelligence Analyst, Financial Analyst, Marketing Analytics Manager, and more. The versatility of business analytics knowledge allows for opportunities in various industries.

What were the challenges that you faced while inculcating this program in your curriculum?

Incorporating the PGDM Business Analytics program into our curriculum presented several challenges. These challenges included finding faculty with the right expertise, allocating resources for software and infrastructure, designing an up-to-date curriculum, engaging with industry partners, addressing data privacy and ethics concerns, and ensuring students preparedness. Additionally, staying competitive, marketing the program, maintaining high retention and graduation rates, and providing a global perspective were ongoing challenges that required dedicated efforts. Overcoming these challenges demanded careful planning, commitment, and resources. We continuously update our curriculum and offer faculty development programs. We foster strong industry connections, address data ethics, and invest in technological infrastructure. Our marketing and recruitment efforts remain robust, and we prioritize student engagement and success. These measures help us stay at the forefront of business analytics education.